1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,360 --> 00:00:08,600 Speaker 1: Sexton Show podcast. Welcome back in. I am Clay Travis, 3 00:00:08,640 --> 00:00:11,159 Speaker 1: he is Buck Sexton. This is the Clay Travis and 4 00:00:11,240 --> 00:00:14,880 Speaker 1: Buck Sexton Show and we have got a lot of 5 00:00:14,920 --> 00:00:16,639 Speaker 1: different stories to get into. We hope you had a 6 00:00:16,720 --> 00:00:20,480 Speaker 1: fantastic Labor Day weekend. Encourage you to go download podcast. 7 00:00:20,520 --> 00:00:23,160 Speaker 1: You can search out my name. Show is so popular. 8 00:00:23,200 --> 00:00:25,480 Speaker 1: Now Buck, you type end Clay a type end Buck 9 00:00:26,040 --> 00:00:29,840 Speaker 1: on any of the podcast universes and immediately the show 10 00:00:29,840 --> 00:00:32,320 Speaker 1: pops up. So who if anybody else named Clay or 11 00:00:32,320 --> 00:00:35,159 Speaker 1: Buck has a show, We have surpassed them at the 12 00:00:35,200 --> 00:00:37,920 Speaker 1: minimum in terms of search requirements. But in all seriousness, 13 00:00:37,920 --> 00:00:39,920 Speaker 1: we appreciate all of you out there, all fifty States, 14 00:00:40,080 --> 00:00:44,440 Speaker 1: all of our affiliate stations as well. And I want 15 00:00:44,479 --> 00:00:48,839 Speaker 1: to get into this rolling Stone ivermectin one hundred percent 16 00:00:49,040 --> 00:00:52,640 Speaker 1: why and how it exposes the hypocrisy of big tech. 17 00:00:52,720 --> 00:00:55,320 Speaker 1: But I want to hit you with a data point 18 00:00:55,360 --> 00:00:58,360 Speaker 1: that I think is significant that is not being discussed anywhere. 19 00:00:59,520 --> 00:01:04,000 Speaker 1: Joe By ran his entire campaign on the idea that 20 00:01:04,080 --> 00:01:07,280 Speaker 1: he was going to fix COVID. He hid in the basement, 21 00:01:07,560 --> 00:01:10,760 Speaker 1: he wore the oversized mask. He used it as a 22 00:01:10,840 --> 00:01:15,839 Speaker 1: cudgel to attack Donald Trump all the time, The idea 23 00:01:15,920 --> 00:01:18,679 Speaker 1: that Trump was not taking COVID seriously enough, the idea 24 00:01:18,720 --> 00:01:22,520 Speaker 1: that Trump had mismanaged COVID. All of that was the 25 00:01:22,640 --> 00:01:27,800 Speaker 1: underlying theme and justification alongside of normalcy that Joe Biden 26 00:01:27,840 --> 00:01:32,759 Speaker 1: based his entire presidential campaign upon. We are now coming 27 00:01:32,840 --> 00:01:35,560 Speaker 1: up on the fall now that we have passed the 28 00:01:35,640 --> 00:01:38,520 Speaker 1: Labor Day, and you can look at the data from 29 00:01:38,680 --> 00:01:41,880 Speaker 1: last fall a year ago, when Joe Biden was making 30 00:01:41,920 --> 00:01:45,800 Speaker 1: this argument all through Labor Day in September. Did you know, 31 00:01:45,880 --> 00:01:50,960 Speaker 1: Buck Sexton, that right now today as we speak, there 32 00:01:51,000 --> 00:01:55,880 Speaker 1: are twice as many people hospitalized with COVID as on 33 00:01:56,040 --> 00:02:00,520 Speaker 1: Labor Day last year, when Joe Biden was saying that 34 00:02:00,680 --> 00:02:04,320 Speaker 1: President Trump was doing an awful job of handling COVID. 35 00:02:04,400 --> 00:02:09,440 Speaker 1: He owns COVID now and this failure, which would, honestly, 36 00:02:09,560 --> 00:02:13,320 Speaker 1: if Trump were still in office, that hospitalization data would 37 00:02:13,360 --> 00:02:18,240 Speaker 1: be being used as continued failure of the Trump administration. Yet, 38 00:02:18,280 --> 00:02:20,680 Speaker 1: I bet a huge percentage of our audience right now 39 00:02:20,720 --> 00:02:23,880 Speaker 1: that's listening to us has no idea that compared to 40 00:02:24,000 --> 00:02:27,360 Speaker 1: last Labor Day, we have twice as many people hospitalized 41 00:02:27,480 --> 00:02:29,720 Speaker 1: right now with COVID as we did last year, And 42 00:02:30,040 --> 00:02:34,440 Speaker 1: how could that be? As we know the dominant lib 43 00:02:34,639 --> 00:02:38,600 Speaker 1: journal media narrative is day in and day out, how 44 00:02:38,639 --> 00:02:42,200 Speaker 1: could the current surge not just in cases, but hospitalizations 45 00:02:42,840 --> 00:02:46,359 Speaker 1: be the fault the fault of the unvaccinated and it 46 00:02:46,440 --> 00:02:49,440 Speaker 1: exceeds where we were a year ago, remember right when 47 00:02:49,440 --> 00:02:52,880 Speaker 1: everyone was unvaccinated. When everybody was unvaccinated a year ago, 48 00:02:53,000 --> 00:02:55,800 Speaker 1: it's a great story. So how is it possible to 49 00:02:55,840 --> 00:02:59,640 Speaker 1: blame those who have not been vaccinated when it's worse 50 00:02:59,720 --> 00:03:02,880 Speaker 1: some now with litizations than it was a year ago 51 00:03:02,919 --> 00:03:05,799 Speaker 1: when it was not possible to even be vaccinated. There 52 00:03:05,919 --> 00:03:09,680 Speaker 1: is obviously something else going on here, Clay, which is 53 00:03:09,680 --> 00:03:13,880 Speaker 1: why the questions about how does this end, what does 54 00:03:13,919 --> 00:03:16,720 Speaker 1: that look like, what do we have to do? How 55 00:03:16,760 --> 00:03:19,600 Speaker 1: long do these vaccines really last? How well do they 56 00:03:19,639 --> 00:03:24,000 Speaker 1: really work? That's if we had an honest, not just journalistic, 57 00:03:24,040 --> 00:03:28,639 Speaker 1: but scientific community in this country. People are still so terrified. 58 00:03:29,000 --> 00:03:33,359 Speaker 1: We both know personally doctors who think that what's going 59 00:03:33,440 --> 00:03:37,160 Speaker 1: on with faucisum is madness, but they don't want to 60 00:03:37,160 --> 00:03:40,040 Speaker 1: abandon all their patients and their career by being booted 61 00:03:40,040 --> 00:03:42,600 Speaker 1: out of their hospital and having their license suspended for 62 00:03:42,920 --> 00:03:47,800 Speaker 1: questioning Fauci. I mean this is this is like the 63 00:03:47,800 --> 00:03:51,000 Speaker 1: the flat eartherism of our current moment. Actually, it's not 64 00:03:51,000 --> 00:03:53,680 Speaker 1: people that are skeptical of vaccines, it's people who won't 65 00:03:53,800 --> 00:03:57,800 Speaker 1: allow there to be questions about vaccines. And what I 66 00:03:57,840 --> 00:03:59,600 Speaker 1: would say too, Buck, I think you hit on it 67 00:03:59,640 --> 00:04:02,560 Speaker 1: well with the flat earth is M. We've talked about 68 00:04:02,600 --> 00:04:08,000 Speaker 1: the heliocentric vers versus geocentric theories to take people all 69 00:04:08,040 --> 00:04:11,320 Speaker 1: the way back to like sixth grade science. But the 70 00:04:11,560 --> 00:04:14,800 Speaker 1: essence of this and why it should be so offensive 71 00:04:14,920 --> 00:04:18,200 Speaker 1: to everyone out there, regardless of your political beliefs, is 72 00:04:18,760 --> 00:04:23,960 Speaker 1: science is about rigorously questioning conventional wisdom. That's how we 73 00:04:24,120 --> 00:04:31,560 Speaker 1: get to legitimate ideas and new hypotheses and theories which 74 00:04:31,680 --> 00:04:35,480 Speaker 1: govern our existence. And yet, if you point out, wait 75 00:04:35,520 --> 00:04:40,360 Speaker 1: a minute, Israel right now is starting to discuss a 76 00:04:40,520 --> 00:04:44,279 Speaker 1: fourth different COVID shot. They have already given everybody a 77 00:04:44,480 --> 00:04:48,200 Speaker 1: third COVID vaccine, they are now talking about a fourth. 78 00:04:48,800 --> 00:04:53,279 Speaker 1: Israeli data reflects that the number of people who are 79 00:04:53,839 --> 00:04:58,960 Speaker 1: testing positive for COVID continues to skyrocket in that country. 80 00:04:59,320 --> 00:05:01,200 Speaker 1: And if you ask, wait a minute. Is this really 81 00:05:01,240 --> 00:05:05,080 Speaker 1: a vaccine? Is it a therapeutic? How is it that 82 00:05:05,120 --> 00:05:09,719 Speaker 1: we with all seventy five percent book of people eighteen 83 00:05:09,839 --> 00:05:14,200 Speaker 1: and up in this country have received at least one 84 00:05:14,600 --> 00:05:18,040 Speaker 1: COVID vaccine shot. How is it that we have twice 85 00:05:18,080 --> 00:05:21,560 Speaker 1: as many people hospitalized for COVID this year as we 86 00:05:21,600 --> 00:05:24,520 Speaker 1: did at the exact same time last year, when no 87 00:05:24,560 --> 00:05:27,360 Speaker 1: one had the opportunity to be vaccinated. Yet, how is 88 00:05:27,400 --> 00:05:29,880 Speaker 1: it the Biden administration gets away day in and day 89 00:05:29,920 --> 00:05:32,640 Speaker 1: out with not addressing this in any way other than 90 00:05:32,680 --> 00:05:35,720 Speaker 1: just to say we need everyone to get vaccinated. Well, 91 00:05:35,800 --> 00:05:39,680 Speaker 1: clearly that does not end this thing. That's because you 92 00:05:39,720 --> 00:05:41,760 Speaker 1: have a lot of people who are vaccinated who are 93 00:05:41,760 --> 00:05:44,880 Speaker 1: still getting COVID and I know that they say, oh, 94 00:05:44,920 --> 00:05:48,560 Speaker 1: it protects from severe disease. Okay, how long does it 95 00:05:49,000 --> 00:05:53,040 Speaker 1: if the vaccine wanes in effectiveness? Right? The assumption here 96 00:05:53,040 --> 00:05:55,560 Speaker 1: could be all right, maybe you have you have enough 97 00:05:55,560 --> 00:06:00,200 Speaker 1: antibodies that you're more likely than not going to survive. 98 00:06:00,440 --> 00:06:03,240 Speaker 1: But does that also remember originally it was you won't 99 00:06:03,279 --> 00:06:05,280 Speaker 1: get you're basically not going to get COVID. Rochelle will 100 00:06:05,320 --> 00:06:08,200 Speaker 1: Lenski of the CDC, the director said, you don't get it, 101 00:06:08,240 --> 00:06:10,640 Speaker 1: you don't spread it. Get the vaccine. That was the pitch. 102 00:06:11,920 --> 00:06:16,240 Speaker 1: Now you definitely yet can get it, right, I mean, 103 00:06:16,279 --> 00:06:18,960 Speaker 1: maybe it's a little less like hospitalized with it. I 104 00:06:18,960 --> 00:06:21,440 Speaker 1: mean there's still I mean, look, I mean it's not 105 00:06:21,480 --> 00:06:24,320 Speaker 1: as if your chances of ever dying of COVID go 106 00:06:24,400 --> 00:06:26,800 Speaker 1: away when you get this vaccine. You can still die 107 00:06:26,800 --> 00:06:30,120 Speaker 1: of COVID. And we're looking now at a situation where 108 00:06:30,120 --> 00:06:34,880 Speaker 1: I think Clay, they don't want to do the real analysis. 109 00:06:34,920 --> 00:06:38,520 Speaker 1: They don't want to actually look at natural immunity because 110 00:06:38,960 --> 00:06:41,240 Speaker 1: we could be heading toward a point where it's just 111 00:06:42,120 --> 00:06:45,720 Speaker 1: everyone's basically gonna get COVID. And the way that this 112 00:06:45,839 --> 00:06:49,120 Speaker 1: actually not goes away entirely but gets under control is 113 00:06:49,160 --> 00:06:53,840 Speaker 1: when enough people have natural immunity, more so even than vaccinity. 114 00:06:53,839 --> 00:06:55,840 Speaker 1: Me didn't. No, I'm not saying we're there yet, but 115 00:06:55,920 --> 00:06:59,440 Speaker 1: that's clearly in the background here. And when you're talking 116 00:06:59,440 --> 00:07:02,520 Speaker 1: about getting a third, fourth shot. Now, all the questions 117 00:07:02,560 --> 00:07:04,600 Speaker 1: about all right, well, what are the side effects and 118 00:07:04,680 --> 00:07:06,920 Speaker 1: what percentage of people have them and how much is 119 00:07:06,960 --> 00:07:09,440 Speaker 1: too much and what does it do? I mean, as 120 00:07:09,440 --> 00:07:12,040 Speaker 1: a simple function of math, if one in one hundred 121 00:07:12,040 --> 00:07:15,760 Speaker 1: thousand people have a really bad reaction to a shot 122 00:07:16,080 --> 00:07:18,720 Speaker 1: if everyone has to get it every year, that you know, 123 00:07:19,040 --> 00:07:21,440 Speaker 1: the math starts to add up very quickly to what's 124 00:07:21,480 --> 00:07:24,240 Speaker 1: really the benefit of this, especially if it starts to 125 00:07:24,880 --> 00:07:27,280 Speaker 1: the protection of it goes away very quickly. But then 126 00:07:27,320 --> 00:07:30,040 Speaker 1: there's also speaking of the science, Clay, I know we've 127 00:07:30,040 --> 00:07:33,800 Speaker 1: talked to this little beforehand. The piece in the intercept, 128 00:07:33,960 --> 00:07:38,760 Speaker 1: new details emerge about coronavirus research at a Chinese lab. 129 00:07:38,760 --> 00:07:40,640 Speaker 1: This was in the intercept where the nine hundred pages 130 00:07:40,640 --> 00:07:44,520 Speaker 1: of material related to US funded coronavirus research in China 131 00:07:44,600 --> 00:07:50,680 Speaker 1: released following a foil lawsuit. Clay Fouci lied they did 132 00:07:50,800 --> 00:07:54,360 Speaker 1: fund and knew they were funding gain a function the 133 00:07:54,320 --> 00:07:56,880 Speaker 1: wool Hunt institude of virology. We're in a position where 134 00:07:56,880 --> 00:07:59,960 Speaker 1: the people who have been in charge of our response 135 00:08:00,480 --> 00:08:03,560 Speaker 1: and wrong the whole time when it comes to COVID 136 00:08:04,080 --> 00:08:09,040 Speaker 1: also funded the creation of COVID's at about it. Yeah, 137 00:08:08,960 --> 00:08:12,600 Speaker 1: we are in a spot right now, Buck, where our 138 00:08:12,720 --> 00:08:18,239 Speaker 1: American tax dollars paid for gain of function research which 139 00:08:18,280 --> 00:08:22,480 Speaker 1: helped to allow the creation of this virus. I mean again, 140 00:08:22,960 --> 00:08:25,080 Speaker 1: I think you and I both Buck, based on the evidence, 141 00:08:25,120 --> 00:08:28,480 Speaker 1: would say the most likely outcome from Our opinion is 142 00:08:28,520 --> 00:08:30,600 Speaker 1: that this thing leaked out of a lab right that 143 00:08:30,640 --> 00:08:34,400 Speaker 1: it didn't like it spread zenotically through through one animal 144 00:08:34,440 --> 00:08:36,840 Speaker 1: getting it, giving it to a human, through the wet market, 145 00:08:36,920 --> 00:08:40,720 Speaker 1: or anything else. Based on the Chinese response, based on 146 00:08:40,800 --> 00:08:45,480 Speaker 1: all the evidence, it seems highly probable to me don't 147 00:08:45,520 --> 00:08:47,720 Speaker 1: know one hundred percent, because we don't have that smoking gun. 148 00:08:47,760 --> 00:08:50,920 Speaker 1: I don't think we ever will. Seems highly probable that 149 00:08:50,960 --> 00:08:52,920 Speaker 1: this came out of a lab, and it came out 150 00:08:52,920 --> 00:08:55,440 Speaker 1: of a lab that was partially funded to be doing 151 00:08:55,440 --> 00:08:59,880 Speaker 1: the research, that it was into coronaviruses based on American 152 00:09:00,080 --> 00:09:02,680 Speaker 1: tax dollars, and that the people who have led our 153 00:09:02,840 --> 00:09:07,600 Speaker 1: response inside of the government were directly involved in helping 154 00:09:07,640 --> 00:09:12,080 Speaker 1: to ensure that this virus ever existed, helped to cover 155 00:09:12,240 --> 00:09:15,480 Speaker 1: up the fact that they were involved, criticized anyone who 156 00:09:15,559 --> 00:09:19,360 Speaker 1: suggested they could be involved, and have consistently lied to 157 00:09:19,400 --> 00:09:25,079 Speaker 1: the American public ever since this discussion began, including under 158 00:09:25,080 --> 00:09:28,240 Speaker 1: oath to Congress. One of the grants from this intercept 159 00:09:28,320 --> 00:09:32,880 Speaker 1: pieces is a quote titled Understanding the Risk of Bat 160 00:09:32,960 --> 00:09:37,920 Speaker 1: coronavirus Emergence outlines an ambitious effort led by Eco Health 161 00:09:37,960 --> 00:09:43,280 Speaker 1: Alliance president Peter Dajak to screen thousands of bat samples 162 00:09:43,640 --> 00:09:48,439 Speaker 1: for novel coronaviruses. The research also involves screening people who 163 00:09:48,440 --> 00:09:52,320 Speaker 1: work with live animals. The documents can say contain several 164 00:09:52,360 --> 00:09:56,080 Speaker 1: critical details about the research in Wuhan, including the fact 165 00:09:56,160 --> 00:09:59,080 Speaker 1: that the key experimental work with humanized mice was conducted 166 00:09:59,120 --> 00:10:02,360 Speaker 1: at a Biosay fifty Level three lab at the Wuhan 167 00:10:02,520 --> 00:10:05,400 Speaker 1: University Center for Animal experiment not the Wuhan Instuite of 168 00:10:05,440 --> 00:10:09,640 Speaker 1: Virology was was assumed. The documents raise additional questions about 169 00:10:09,640 --> 00:10:13,320 Speaker 1: all this, including clay how concerned they were about the 170 00:10:13,320 --> 00:10:20,840 Speaker 1: possibility of the bats biting or otherwise spreading the virus 171 00:10:20,920 --> 00:10:24,600 Speaker 1: that they were injecting them with and playing with into 172 00:10:24,640 --> 00:10:29,040 Speaker 1: a human because then you'd have a super coronavirus in 173 00:10:29,120 --> 00:10:31,920 Speaker 1: a human being. I mean, think about all the things 174 00:10:31,960 --> 00:10:35,000 Speaker 1: that happen to not be true in order for this 175 00:10:35,040 --> 00:10:39,559 Speaker 1: to be a coincidence. Let's presume that it arose organically 176 00:10:39,600 --> 00:10:43,280 Speaker 1: and naturally. You're telling me that it happened in all 177 00:10:43,360 --> 00:10:47,400 Speaker 1: the world where this could have occurred right next to 178 00:10:47,440 --> 00:10:51,280 Speaker 1: the Wuhan Virology lab and right next to this other 179 00:10:51,400 --> 00:10:54,840 Speaker 1: lab where they're doing gain a function research on these bats, 180 00:10:55,920 --> 00:10:59,559 Speaker 1: it happened organically. Of everywhere, it could happen in China, 181 00:10:59,600 --> 00:11:01,960 Speaker 1: by the way, I remember, the bats that they were 182 00:11:02,040 --> 00:11:06,360 Speaker 1: testing are not endemic. In other words, they're not located 183 00:11:06,559 --> 00:11:10,800 Speaker 1: in Wuhan. Naturally, they brought all these bats in. And 184 00:11:10,840 --> 00:11:14,360 Speaker 1: you're telling me that it just coincidentally, of anywhere in 185 00:11:14,400 --> 00:11:18,360 Speaker 1: the world that this virus could have emerged, they're doing 186 00:11:18,640 --> 00:11:23,400 Speaker 1: high level gain of function research on bats, and they're 187 00:11:23,400 --> 00:11:27,440 Speaker 1: doing high level virology gain of function research two different 188 00:11:27,520 --> 00:11:31,880 Speaker 1: laboratories which are basically located right by the food mart. 189 00:11:32,520 --> 00:11:34,760 Speaker 1: And you're telling me that of all the places in 190 00:11:34,800 --> 00:11:39,120 Speaker 1: the world where COVID could have originated, it just happened 191 00:11:39,120 --> 00:11:45,199 Speaker 1: to originate right beside those two laboratories. And it's not connected. Well, 192 00:11:45,200 --> 00:11:47,240 Speaker 1: this has been the theory for a year. And if 193 00:11:47,280 --> 00:11:49,760 Speaker 1: you said this a year ago, or when we were 194 00:11:49,800 --> 00:11:52,680 Speaker 1: saying this over a year ago, now really going on 195 00:11:52,760 --> 00:11:57,240 Speaker 1: more like almost what eighteen months, you were a conspiracy 196 00:11:57,320 --> 00:12:02,360 Speaker 1: theorist that against a science and unwilling to deal in fact, 197 00:12:02,760 --> 00:12:05,839 Speaker 1: and Facebook would shut you down and Twitter would ban 198 00:12:05,960 --> 00:12:09,000 Speaker 1: you and all the rest of it. And there's no humility, 199 00:12:09,480 --> 00:12:13,160 Speaker 1: no sense of overreach. Maybe we should scale it back 200 00:12:13,200 --> 00:12:15,840 Speaker 1: from the same people that insisted that this was a 201 00:12:15,840 --> 00:12:18,360 Speaker 1: crazy conspiracy theory. Then somehow they're the people that are 202 00:12:18,400 --> 00:12:20,520 Speaker 1: now telling you get that third get that fourth shot. 203 00:12:20,720 --> 00:12:23,720 Speaker 1: Shut up, peasant, don't ask any questions. The way I 204 00:12:23,760 --> 00:12:26,200 Speaker 1: think about it, Buck, is if we were standing in 205 00:12:26,240 --> 00:12:29,280 Speaker 1: front of a jury and they were just twelve reasonably 206 00:12:29,320 --> 00:12:34,200 Speaker 1: intelligent American jurors, and one group had to argue, hey, 207 00:12:34,280 --> 00:12:38,640 Speaker 1: you know what, it just naturally evolved from an animal 208 00:12:39,080 --> 00:12:43,080 Speaker 1: and somewhere at the food market one person got it 209 00:12:43,160 --> 00:12:46,120 Speaker 1: and it's spread there. And the other person said, hey, 210 00:12:46,160 --> 00:12:49,319 Speaker 1: they were conducting gain a function, high level research in 211 00:12:49,400 --> 00:12:53,920 Speaker 1: this laboratory right by the food market, on viruses and 212 00:12:54,160 --> 00:12:57,560 Speaker 1: on the bat where we know the COVID virus came from. 213 00:12:58,640 --> 00:13:02,040 Speaker 1: What do you think the jury would side with? Right? 214 00:13:02,240 --> 00:13:05,840 Speaker 1: It's pretty obous, too hard, pretty obvious. Pain sufferers wonder 215 00:13:05,880 --> 00:13:07,920 Speaker 1: every day what will it take to make the suffering 216 00:13:08,080 --> 00:13:11,320 Speaker 1: go away? There's one remedy or another, all recommended by 217 00:13:11,360 --> 00:13:14,520 Speaker 1: family or friends. John in California heard about relief Factor 218 00:13:14,559 --> 00:13:17,240 Speaker 1: our sponsor here, and he started taking it. After taking 219 00:13:17,240 --> 00:13:20,000 Speaker 1: it twice a day for three days, he was feeling relief. 220 00:13:20,320 --> 00:13:22,800 Speaker 1: The more days in the better off he was using 221 00:13:22,840 --> 00:13:25,400 Speaker 1: relief Factor's quick start program. He had nothing to lose 222 00:13:25,440 --> 00:13:27,959 Speaker 1: and everything to gain, and what he gained was a 223 00:13:28,040 --> 00:13:30,760 Speaker 1: pain free day. Like my dad will tell you, or 224 00:13:30,800 --> 00:13:33,800 Speaker 1: Clay's wife will tell you, relief Factor really works. Of 225 00:13:33,840 --> 00:13:36,600 Speaker 1: a hundred persons who try it, nearly seventy go on 226 00:13:36,760 --> 00:13:40,559 Speaker 1: Clay to order more. Relief Factor yep, and it's drug free, 227 00:13:40,600 --> 00:13:44,080 Speaker 1: addresses joint pain, knee, hip, backneck, and shoulder pain. Made 228 00:13:44,080 --> 00:13:47,480 Speaker 1: by doctors based on scientific research. 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To protect the health system, We've got everybody 241 00:14:32,200 --> 00:14:36,240 Speaker 1: locked down we're gonna move to a situation where to 242 00:14:36,360 --> 00:14:39,600 Speaker 1: protect the health system, We're gonna look out people who 243 00:14:39,600 --> 00:14:42,800 Speaker 1: I'm not vaccinated and candy. If you're making the choice 244 00:14:42,840 --> 00:14:46,200 Speaker 1: not to get vaccinated, then you're making the wrong choice. 245 00:14:46,680 --> 00:14:49,760 Speaker 1: But yes, there's going to be a vaccinated economy and 246 00:14:49,840 --> 00:14:52,440 Speaker 1: you get to participate in that. If you are vaccinated, 247 00:14:53,680 --> 00:14:57,600 Speaker 1: get vaccinated, will you can't be in the economy something 248 00:14:57,680 --> 00:14:59,520 Speaker 1: like that. That's what the guy in Australia is saying. 249 00:15:00,000 --> 00:15:03,920 Speaker 1: Welcome back with Pat Travis and Buck Sexton show Aussie accents. 250 00:15:04,000 --> 00:15:06,760 Speaker 1: Kind of funky. It's a tough one to do. This 251 00:15:06,840 --> 00:15:08,360 Speaker 1: is what they're doing there, folks. I just think you 252 00:15:08,360 --> 00:15:11,480 Speaker 1: should know that whereas a lot of us have been 253 00:15:11,960 --> 00:15:15,840 Speaker 1: for a while here pointing to Australia is saying, look 254 00:15:15,880 --> 00:15:20,400 Speaker 1: at how crazy they are. I think that the CDC 255 00:15:20,960 --> 00:15:28,240 Speaker 1: Democrat control apparatus of the fauci itites sees Australian goes, well, 256 00:15:28,280 --> 00:15:31,040 Speaker 1: that's possible here too, we could do some of that stuff. 257 00:15:31,040 --> 00:15:33,240 Speaker 1: I mean, Clay, just to give everyone a sense, new 258 00:15:33,320 --> 00:15:37,440 Speaker 1: cases in Australia right now, they have these severe restriction 259 00:15:37,480 --> 00:15:40,920 Speaker 1: Remember it's an island, much lower population density. A lot 260 00:15:40,960 --> 00:15:42,920 Speaker 1: going in its favor for COVID in the first place, 261 00:15:43,680 --> 00:15:47,400 Speaker 1: new cases one thousand, five hundred and forty five as 262 00:15:47,400 --> 00:15:51,760 Speaker 1: of today. The previous peak was in August of twenty 263 00:15:51,840 --> 00:15:56,920 Speaker 1: twenty three ninety five cases. So somehow, in the era 264 00:15:57,120 --> 00:16:01,360 Speaker 1: of vaccination and extreme lockdown on Australia, they're having their 265 00:16:01,400 --> 00:16:05,240 Speaker 1: worst COVID surge ever. M interesting. And also you're not 266 00:16:05,280 --> 00:16:09,720 Speaker 1: allowed to hardly even talk about this either. Although Australia, 267 00:16:09,800 --> 00:16:13,000 Speaker 1: despite what the left wing lunatics in our country are saying, 268 00:16:13,480 --> 00:16:16,760 Speaker 1: Australia's president you see this too, came out and basically 269 00:16:16,840 --> 00:16:20,880 Speaker 1: said COVID zero isn't a real opportunity anymore. Like the 270 00:16:21,000 --> 00:16:24,840 Speaker 1: idea of COVID zero made sense in a small way 271 00:16:24,880 --> 00:16:28,800 Speaker 1: if you're an island nation New Zealand, Australia that completely 272 00:16:28,800 --> 00:16:33,080 Speaker 1: can restrict travel into and outto of those countries, but 273 00:16:33,320 --> 00:16:36,720 Speaker 1: only if you had a vaccine that was so effective 274 00:16:37,080 --> 00:16:41,640 Speaker 1: it basically ended the E COVID virus like a smallpox 275 00:16:41,720 --> 00:16:44,240 Speaker 1: vaccine would have back in the day, like we did 276 00:16:44,240 --> 00:16:47,560 Speaker 1: with polio. That's not going to happen. And so now 277 00:16:47,560 --> 00:16:49,640 Speaker 1: they're at least looking at the data and saying we're 278 00:16:49,680 --> 00:16:54,360 Speaker 1: broken our system of COVID zero can't work. We're asking people, Really, 279 00:16:54,400 --> 00:16:58,680 Speaker 1: the fight here is it's over freedom versus authoritarianism. It's 280 00:16:58,720 --> 00:17:02,120 Speaker 1: also just over people need to be reasonable. They need 281 00:17:02,160 --> 00:17:06,240 Speaker 1: to stop being unreasonable and think that anything, no matter 282 00:17:06,280 --> 00:17:10,520 Speaker 1: how minute, or how intrusive, or how absurd, is worth 283 00:17:10,600 --> 00:17:14,400 Speaker 1: doing against COVID, because anything that mitigates COVID in any 284 00:17:14,400 --> 00:17:18,560 Speaker 1: way is inherently justified. Clay, It's just an unreasonable perspective, 285 00:17:18,880 --> 00:17:22,919 Speaker 1: and that's what has unfortunately infected the minds of about 286 00:17:22,920 --> 00:17:25,119 Speaker 1: half the world's population, maybe more than half the world's 287 00:17:25,119 --> 00:17:27,720 Speaker 1: population at this point. It's really and they don't see 288 00:17:27,760 --> 00:17:30,399 Speaker 1: the data. Buck, That's just that's so what's frustrated. I 289 00:17:30,400 --> 00:17:32,160 Speaker 1: think they don't care, Clay. I think we could read 290 00:17:32,160 --> 00:17:34,040 Speaker 1: them the data to their faces and they would say, 291 00:17:34,560 --> 00:17:36,840 Speaker 1: that's not what Fauci says and just go right back 292 00:17:36,880 --> 00:17:40,240 Speaker 1: in hate grandmas into the same nonsense. Well, we got 293 00:17:40,240 --> 00:17:43,960 Speaker 1: another customer testimonial coming in about Rough Greens, this one 294 00:17:44,000 --> 00:17:48,000 Speaker 1: from Diane h in California. I have a problem with 295 00:17:48,119 --> 00:17:51,200 Speaker 1: Rough Greens. I cannot keep up with this crazy dog. 296 00:17:51,480 --> 00:17:53,000 Speaker 1: I want more so to tell me what to do. 297 00:17:53,119 --> 00:17:55,080 Speaker 1: I'm so happy to see what Rough Greens has done 298 00:17:55,080 --> 00:17:58,240 Speaker 1: for my dog Blue, Thank you well. Rough Greens is 299 00:17:58,240 --> 00:18:00,719 Speaker 1: a supplement that Diane, obviously he's been adding into her 300 00:18:00,720 --> 00:18:03,399 Speaker 1: dogs food. We added into Telulah, the frencheese food in 301 00:18:03,440 --> 00:18:06,159 Speaker 1: my family. She's got an extra peppin her step and 302 00:18:06,280 --> 00:18:08,280 Speaker 1: her stomach is much more settled than it used to 303 00:18:08,359 --> 00:18:10,880 Speaker 1: be because you know, Roughgreens is not a dog food. 304 00:18:10,920 --> 00:18:14,120 Speaker 1: It's a supplement, a healthy supplement you put into your 305 00:18:14,119 --> 00:18:17,080 Speaker 1: dog's food with all the live nutrients necessary for superior 306 00:18:17,160 --> 00:18:19,840 Speaker 1: dog health. The folks at rough Greens are so confident 307 00:18:19,880 --> 00:18:21,600 Speaker 1: your dog is gonna love it. They have a special 308 00:18:21,640 --> 00:18:25,760 Speaker 1: deal for you, are listeners. Just go to rough Greens ruf, 309 00:18:26,280 --> 00:18:29,520 Speaker 1: Roughgreens dot com, slash Clay and Buck and they're gonna 310 00:18:29,520 --> 00:18:31,960 Speaker 1: give you the first bag free. You heard me right free. 311 00:18:32,400 --> 00:18:35,720 Speaker 1: All you pay is shipping. That's rough Greens dot Com, 312 00:18:35,880 --> 00:18:41,000 Speaker 1: slash Clay and Buck, Roughgreens dot Com slash Clay and Buck, live, 313 00:18:41,440 --> 00:18:44,800 Speaker 1: live vitamins, probiotics, enzymes, all of it added right into 314 00:18:44,800 --> 00:18:47,760 Speaker 1: your dogs food. It's amazing. Give it a shot. Roughgreens 315 00:18:47,840 --> 00:18:56,480 Speaker 1: dot Com, slash Clay and Buck, Welcome back in I 316 00:18:56,560 --> 00:18:59,000 Speaker 1: Am play tr Avasy is Buck Sexton we are rolling 317 00:18:59,040 --> 00:19:02,480 Speaker 1: through the Tuesday edition of the program, and Buck, I 318 00:19:02,640 --> 00:19:06,159 Speaker 1: talked about this a little bit yesterday, but I got 319 00:19:06,280 --> 00:19:09,440 Speaker 1: to get your reaction to this story as well. So 320 00:19:09,720 --> 00:19:16,200 Speaker 1: Rolling Stone published a story that ivermectin was causing the 321 00:19:16,359 --> 00:19:20,600 Speaker 1: use of ivermectin was causing an Oklahoma hospital to have 322 00:19:20,800 --> 00:19:25,159 Speaker 1: to refuse surface to people who were gunshot victims, that 323 00:19:25,280 --> 00:19:29,560 Speaker 1: there were massive lines in the nursing home, in the 324 00:19:29,640 --> 00:19:33,840 Speaker 1: emergency room, and that as a result of ivermectin, this 325 00:19:34,080 --> 00:19:38,040 Speaker 1: hospital was basically having to shut down its emergency room 326 00:19:38,160 --> 00:19:44,240 Speaker 1: because they were overflowed with ivermectin patients. Everyone jumps on 327 00:19:44,400 --> 00:19:49,840 Speaker 1: board this report. It is ricocheting throughout Twitter, the Rachel 328 00:19:49,920 --> 00:19:54,399 Speaker 1: Maddow's of the world, literally, Rachel Maddow herself share this story. 329 00:19:54,920 --> 00:20:00,520 Speaker 1: The usual suspects all shared it's based on one doctor. Finally, 330 00:20:00,600 --> 00:20:03,439 Speaker 1: somebody reaches out to the hospital itself. It turns out 331 00:20:03,480 --> 00:20:05,640 Speaker 1: the doctor hadn't been at the hospital in a couple 332 00:20:05,720 --> 00:20:09,200 Speaker 1: of months and they had had no issues whatsoever with 333 00:20:09,400 --> 00:20:13,760 Speaker 1: ivermectin of any degree. That means the story, the Rolling 334 00:20:13,880 --> 00:20:18,359 Speaker 1: Stone story Buck was one hundred percent fake news to 335 00:20:18,560 --> 00:20:21,920 Speaker 1: use a Trump phrase, and was not in any way 336 00:20:22,160 --> 00:20:27,959 Speaker 1: based in factual legitimacy. It was not true. I does 337 00:20:28,040 --> 00:20:32,280 Speaker 1: Twitter do anything with it? Does anybody like require did 338 00:20:32,359 --> 00:20:36,959 Speaker 1: any of these tweets receive any kind of statement? As 339 00:20:37,040 --> 00:20:39,760 Speaker 1: you're in mind, tweets often do. Anytime we say hey, 340 00:20:40,119 --> 00:20:42,120 Speaker 1: you know, like here's the latest data, it says click 341 00:20:42,200 --> 00:20:46,639 Speaker 1: here for COVID, you know, vaccination information. Alex Berenson loses 342 00:20:46,800 --> 00:20:51,080 Speaker 1: his ability to post on Twitter. Yet this story trends 343 00:20:51,200 --> 00:20:54,400 Speaker 1: everywhere and there are no consequences for the people who 344 00:20:54,480 --> 00:20:58,840 Speaker 1: spread one fake news. Two observations about this class saw 345 00:20:58,920 --> 00:21:01,120 Speaker 1: this story over the weekend and as I was taking 346 00:21:01,200 --> 00:21:03,320 Speaker 1: some vacation, thank you for being at the helm yesterday 347 00:21:03,320 --> 00:21:06,320 Speaker 1: so I could actually get a day off. One of 348 00:21:06,400 --> 00:21:10,800 Speaker 1: them is that the people who run with this stuff 349 00:21:11,560 --> 00:21:14,680 Speaker 1: don't care when it's fake, meaning that this is just 350 00:21:14,840 --> 00:21:17,880 Speaker 1: like Russia collusion. This is the media environment we're in now. 351 00:21:18,440 --> 00:21:22,080 Speaker 1: You show your side how much you hate the other side, 352 00:21:22,200 --> 00:21:25,440 Speaker 1: and you take a cheap shot at them, and you 353 00:21:25,560 --> 00:21:29,480 Speaker 1: are rewarded with more viewers, more money, more following. That's 354 00:21:29,520 --> 00:21:33,720 Speaker 1: how left wing corporate media works today. That's the situation. 355 00:21:33,880 --> 00:21:36,399 Speaker 1: Look at Rachel Maddow thirty million dollars, She's gonna get 356 00:21:36,400 --> 00:21:38,479 Speaker 1: paid into a new contract to not even left her 357 00:21:38,720 --> 00:21:41,080 Speaker 1: to not even really work. And after just lying about 358 00:21:41,119 --> 00:21:43,400 Speaker 1: Russia collusion for four years to her audience, it didn't matter. 359 00:21:43,520 --> 00:21:46,280 Speaker 1: The point was she was feeding. She was feeding the 360 00:21:46,400 --> 00:21:49,159 Speaker 1: loony left what they wanted, and they loved her for it. 361 00:21:49,640 --> 00:21:52,080 Speaker 1: And it's the same thing with this rolling stone. They 362 00:21:52,160 --> 00:21:55,399 Speaker 1: have no credibility to protect a rolling stone. These journalistic 363 00:21:55,560 --> 00:22:00,320 Speaker 1: enterprises aren't serious in being unbiased and about the facts. 364 00:22:00,840 --> 00:22:03,160 Speaker 1: But there's another part of this that I found really bothersome. 365 00:22:03,880 --> 00:22:06,800 Speaker 1: And you're seeing this all over the place now too. Yeah, 366 00:22:06,880 --> 00:22:09,000 Speaker 1: sure they want to they want to do this. They'll 367 00:22:09,040 --> 00:22:11,400 Speaker 1: lie about it. They'll feel good lying about it. But oh, 368 00:22:11,600 --> 00:22:15,800 Speaker 1: look at these rubs. Look at these fools who probably 369 00:22:15,960 --> 00:22:19,280 Speaker 1: voted for Trump, who are taking ivermectin and all this 370 00:22:19,440 --> 00:22:22,399 Speaker 1: stuff that's not even enough for them. They'll lie about it, 371 00:22:22,520 --> 00:22:25,440 Speaker 1: and then they'll pile on top of that. They're a 372 00:22:25,640 --> 00:22:29,959 Speaker 1: danger to you crazy libs sitting at home with your 373 00:22:30,040 --> 00:22:33,040 Speaker 1: three masks on while you're taking a shower, to you 374 00:22:33,600 --> 00:22:37,160 Speaker 1: people sitting in you know, Santa Monica or in Brooklyn 375 00:22:37,240 --> 00:22:41,080 Speaker 1: who watch MSNBC. They're taking up all the hospital beds 376 00:22:41,160 --> 00:22:44,280 Speaker 1: for the gunshot victims and the car accident victims. So 377 00:22:44,520 --> 00:22:47,840 Speaker 1: it's not even enough to lie about them being dumb 378 00:22:47,960 --> 00:22:51,280 Speaker 1: by saying there's all these overdoses happening. They lie about 379 00:22:51,359 --> 00:22:55,399 Speaker 1: them being an actual menace to public safety, Clay, because 380 00:22:55,600 --> 00:22:58,439 Speaker 1: that's really what the left wing audience wants to hear. Now, 381 00:22:58,680 --> 00:23:00,840 Speaker 1: it's not even all these people who won't do what 382 00:23:00,960 --> 00:23:03,600 Speaker 1: Fauci says are endangering themselves. No, it has to be 383 00:23:04,160 --> 00:23:08,680 Speaker 1: they're endangering everybody. And the lie to make people think that, 384 00:23:09,400 --> 00:23:13,520 Speaker 1: And it is just wild to me. And I would 385 00:23:13,560 --> 00:23:16,320 Speaker 1: think Alex Barnson said, you know, he's figuring out his 386 00:23:16,480 --> 00:23:20,399 Speaker 1: legal responses here, but to me, and again this is 387 00:23:20,440 --> 00:23:23,760 Speaker 1: me thinking about it from a legal perspective. If Twitter 388 00:23:23,960 --> 00:23:26,359 Speaker 1: is going to argue that they are trying to apply 389 00:23:26,800 --> 00:23:32,320 Speaker 1: editorial fact checking functions to their service, this is a 390 00:23:32,800 --> 00:23:37,440 Speaker 1: wildly arbitrary and capricious policy that you can point to 391 00:23:37,760 --> 00:23:40,200 Speaker 1: this story because remember there's a big difference. Like you 392 00:23:40,359 --> 00:23:43,359 Speaker 1: and I every single day share a variety of opinions. 393 00:23:43,800 --> 00:23:47,639 Speaker 1: It's oftentimes very hard to prove that an opinion is 394 00:23:47,720 --> 00:23:51,440 Speaker 1: wrong because it's just that it's an opinion as opposed 395 00:23:51,480 --> 00:23:54,760 Speaker 1: to a fact, which you can prove whether or not 396 00:23:54,960 --> 00:23:59,560 Speaker 1: a fact is wrong or right. This story that Rolling 397 00:23:59,640 --> 00:24:03,919 Speaker 1: Stone and published, the facts are lies. It is one 398 00:24:04,080 --> 00:24:08,520 Speaker 1: hundred percent not real. It's fake news, to use the 399 00:24:08,600 --> 00:24:13,359 Speaker 1: Trump term. And yet there's no requirement that Rachel Maddow 400 00:24:13,560 --> 00:24:17,280 Speaker 1: take it down. There's no requirement that all these MSNBC 401 00:24:17,520 --> 00:24:21,960 Speaker 1: employees buck who otherwise are able to share stories, you know, 402 00:24:22,280 --> 00:24:24,520 Speaker 1: for you and me and Alex Barrens and anybody who 403 00:24:24,600 --> 00:24:28,000 Speaker 1: shares facts like data out of Israel or data about 404 00:24:28,040 --> 00:24:31,080 Speaker 1: the vaccine that makes people uncomfortable, we're not allowed to 405 00:24:31,240 --> 00:24:34,560 Speaker 1: do that. But they're allowed to share a story that 406 00:24:34,760 --> 00:24:40,480 Speaker 1: is one percent false. You remember when people were supposed 407 00:24:40,520 --> 00:24:43,040 Speaker 1: to be all freaked out. It's it's almost like Clay, 408 00:24:43,119 --> 00:24:47,520 Speaker 1: there are propaganda loops that we're all in here because 409 00:24:47,560 --> 00:24:49,720 Speaker 1: as I'm seeing this, and to your point about how 410 00:24:49,760 --> 00:24:52,760 Speaker 1: this is fake news, it's not only fake, it's obviously fake, 411 00:24:52,840 --> 00:24:56,280 Speaker 1: demonstrably and provably false. But but even beyond that, though 412 00:24:56,560 --> 00:24:59,879 Speaker 1: when someone hears this, it doesn't ring true to one 413 00:25:00,119 --> 00:25:04,240 Speaker 1: reasonable person. Really, the hospitals or people are are that 414 00:25:04,560 --> 00:25:07,760 Speaker 1: are that dumb that there are thousands of them who 415 00:25:07,800 --> 00:25:11,000 Speaker 1: are dying from over not even remember they're not taking 416 00:25:11,160 --> 00:25:15,399 Speaker 1: ivermectin and getting sick. They're overdosing on like you know, 417 00:25:15,640 --> 00:25:17,440 Speaker 1: it's one thing if you want to try a drug 418 00:25:17,520 --> 00:25:20,719 Speaker 1: that's you know, off label, but as FDA cleared or something, right. 419 00:25:20,760 --> 00:25:22,360 Speaker 1: I mean, this would be like saying, oh, I think 420 00:25:22,400 --> 00:25:24,840 Speaker 1: that Thailand all would be helpful for people that have 421 00:25:24,920 --> 00:25:26,320 Speaker 1: a Like I had a lot of back pain from 422 00:25:26,359 --> 00:25:29,760 Speaker 1: COVID for whatever reason. Okay, if I down the whole 423 00:25:29,880 --> 00:25:33,359 Speaker 1: bottle of Thailand all, that's on me. That's not on 424 00:25:33,720 --> 00:25:36,479 Speaker 1: you know, Bear or whoever, the manufacturers of tire. All right. 425 00:25:36,760 --> 00:25:39,000 Speaker 1: So also it doesn't have there ever been any hospital 426 00:25:39,080 --> 00:25:41,760 Speaker 1: that isn't able to treat gunshot victims. Have you ever 427 00:25:41,800 --> 00:25:43,680 Speaker 1: heard somebody like showing up at a hospital with a 428 00:25:43,720 --> 00:25:45,520 Speaker 1: gunshot wound. They're like, hey, we can't get to you 429 00:25:45,680 --> 00:25:49,080 Speaker 1: right now. But it doesn't even sound plausible, and they 430 00:25:49,160 --> 00:25:51,520 Speaker 1: ran with it. It's more, it's not even just cherry 431 00:25:51,600 --> 00:25:55,400 Speaker 1: picking facts or not looking at data. It's an obvious lie, 432 00:25:55,840 --> 00:25:57,960 Speaker 1: but it was a delicious lie for the left, so 433 00:25:58,000 --> 00:26:01,159 Speaker 1: they ran with it. It just reminds me of this 434 00:26:01,400 --> 00:26:04,879 Speaker 1: back in the day, when we had people talking about 435 00:26:05,080 --> 00:26:12,320 Speaker 1: the member this the the potential benefits of hydroxy chloroqu 436 00:26:12,400 --> 00:26:15,879 Speaker 1: or right, yeah, And and then there was a a 437 00:26:16,160 --> 00:26:19,640 Speaker 1: version of it was it was not hydroxy chlorical or something. 438 00:26:19,680 --> 00:26:22,560 Speaker 1: It was like a different kind of chloroquin that is 439 00:26:22,640 --> 00:26:25,480 Speaker 1: used to clean fish tanks. And there was this whole 440 00:26:25,520 --> 00:26:29,440 Speaker 1: thing about someone took, uh, someone took fish tank cleaner, 441 00:26:29,840 --> 00:26:31,480 Speaker 1: and this was supposed to be blamed on trips like 442 00:26:32,119 --> 00:26:36,240 Speaker 1: if if you can't tell the difference between hydroxy chloroquin 443 00:26:36,600 --> 00:26:38,920 Speaker 1: and what's used to clean a fish tank, like, that's 444 00:26:39,000 --> 00:26:41,440 Speaker 1: on you. But that also was a stupid line that 445 00:26:41,560 --> 00:26:44,600 Speaker 1: wasn't a thing that was really happening. People weren't overdosing on, 446 00:26:44,920 --> 00:26:48,119 Speaker 1: you know, on chloroquine fish tank cleaner all over the country. 447 00:26:48,480 --> 00:26:50,520 Speaker 1: But they keep doing this because it's essential to them. 448 00:26:50,560 --> 00:26:53,680 Speaker 1: Clay to believe the people who disagree with them are 449 00:26:53,800 --> 00:26:55,640 Speaker 1: so dumb that they don't even have to be listened 450 00:26:55,680 --> 00:26:58,560 Speaker 1: to or thought about. I think that's exactly right. And 451 00:26:58,840 --> 00:27:02,480 Speaker 1: also all it's like mad libs version of a story. 452 00:27:03,280 --> 00:27:07,720 Speaker 1: If a story perfectly fits your version of the world, 453 00:27:07,760 --> 00:27:11,600 Speaker 1: it's it's kind of like the Jesse Smallett case buck 454 00:27:11,920 --> 00:27:15,320 Speaker 1: where it's like that was so perfect if it actually happened. 455 00:27:15,800 --> 00:27:19,719 Speaker 1: It's like a fevered dream of a left winger. Right, 456 00:27:20,119 --> 00:27:24,440 Speaker 1: somebody in a maga hat chase down a gay black 457 00:27:24,520 --> 00:27:29,080 Speaker 1: man with a noose in Chicago and said, hey, we're 458 00:27:29,160 --> 00:27:32,959 Speaker 1: doing this to you because we're big Trump supporters. It's like, hey, 459 00:27:33,040 --> 00:27:37,960 Speaker 1: wait a minute, Oklahoma, red state ivermectin, dumb red state 460 00:27:38,160 --> 00:27:42,840 Speaker 1: people can't even treat gunshot victims like when you see 461 00:27:42,920 --> 00:27:45,920 Speaker 1: all the fact patterns lining up, and it would be 462 00:27:46,160 --> 00:27:49,639 Speaker 1: like the fevered dream of a political party to have 463 00:27:49,800 --> 00:27:54,040 Speaker 1: it occur. Your initial response, if you have a functional brain, 464 00:27:54,560 --> 00:27:58,080 Speaker 1: should be skepticism, Right, That's just what it naturally should be, 465 00:27:58,640 --> 00:28:01,320 Speaker 1: especially on the Internet, where you have to question whether 466 00:28:01,400 --> 00:28:03,480 Speaker 1: anything is true or false. Right. I also think so 467 00:28:03,600 --> 00:28:06,200 Speaker 1: much falsehood out there. I think at some level to 468 00:28:06,880 --> 00:28:11,879 Speaker 1: people like Rachel Madaw, not only is it professionally beneficial 469 00:28:12,000 --> 00:28:13,399 Speaker 1: to her, I mean, I like she really needs the 470 00:28:13,440 --> 00:28:15,800 Speaker 1: money anymore. But you know people, even rich people like money. 471 00:28:16,720 --> 00:28:18,480 Speaker 1: Sometimes they're like it a whole lot more than they should, 472 00:28:19,359 --> 00:28:21,680 Speaker 1: but it benefits her professionally. But Clay also, I think 473 00:28:21,680 --> 00:28:25,639 Speaker 1: there's some joy that the liberal elites get over promoting 474 00:28:25,800 --> 00:28:28,119 Speaker 1: stories like this that are such a thumb in the 475 00:28:28,240 --> 00:28:31,520 Speaker 1: eye to regular folks who don't buy into all the 476 00:28:31,600 --> 00:28:34,760 Speaker 1: fauci stuff. It's kind of like saying, yeah, this is 477 00:28:34,800 --> 00:28:36,840 Speaker 1: what we think of you, that we'll even we'll run 478 00:28:36,920 --> 00:28:40,080 Speaker 1: with a story that's so patently false, so obviously untrue, 479 00:28:40,400 --> 00:28:44,479 Speaker 1: so vicious about how we think you're not smart. Right, 480 00:28:44,600 --> 00:28:47,280 Speaker 1: That's what they're really pushing. And I think they get 481 00:28:47,360 --> 00:28:49,120 Speaker 1: a kind of sick joy out of it, honestly, because 482 00:28:49,120 --> 00:28:52,240 Speaker 1: there's no way, there's no way that Rachel Mattou didn't 483 00:28:52,240 --> 00:28:53,959 Speaker 1: have a moment, And I'm just she's not the only one, 484 00:28:53,960 --> 00:28:56,040 Speaker 1: but she's the most prominent one. Where it's like, are 485 00:28:56,080 --> 00:28:59,240 Speaker 1: people really dying in large numbers from oding over ivermectin? 486 00:29:00,080 --> 00:29:03,000 Speaker 1: Are they just refusing to treat gunshot victims because of it? 487 00:29:03,040 --> 00:29:05,480 Speaker 1: I mean, just even take away the ivermected and just 488 00:29:05,560 --> 00:29:08,160 Speaker 1: be like, wait a minute, are there really people showing 489 00:29:08,280 --> 00:29:12,960 Speaker 1: up at at at at emergency rooms and bleeding out 490 00:29:13,400 --> 00:29:16,560 Speaker 1: because they can't get the doctors to them. And we're 491 00:29:16,560 --> 00:29:19,840 Speaker 1: not we're not hearing from the families, we're not hearing 492 00:29:19,880 --> 00:29:22,000 Speaker 1: from the police about there, We're not hearing anything from 493 00:29:22,000 --> 00:29:24,960 Speaker 1: anybody involved except one random doctors never thought anyway. The 494 00:29:25,480 --> 00:29:28,680 Speaker 1: dumber and more vicious the lie, the more. A lot 495 00:29:28,720 --> 00:29:31,840 Speaker 1: of Democrats take to it right away. We'll come back 496 00:29:31,880 --> 00:29:35,320 Speaker 1: into this. Also got Afghanistan. Biden's State Department wants to 497 00:29:35,360 --> 00:29:39,360 Speaker 1: take credit that is not due and also wants to 498 00:29:39,400 --> 00:29:42,240 Speaker 1: get in the way of things. Not a surpriser. We'll 499 00:29:42,280 --> 00:29:45,240 Speaker 1: come back into the moment. But here's an open invitation 500 00:29:45,880 --> 00:29:49,240 Speaker 1: to save six hundred or more without having to sacrifice anything. 501 00:29:49,280 --> 00:29:51,360 Speaker 1: Six hundred dollars or more. In fact, it's likely an 502 00:29:51,440 --> 00:29:53,800 Speaker 1: upgrade for you in every respect, and it's gonna save 503 00:29:53,840 --> 00:29:55,920 Speaker 1: you a whole lot of money. If you haven't started 504 00:29:56,000 --> 00:29:58,600 Speaker 1: using pure Talk cell service yet and you're still with 505 00:29:58,680 --> 00:30:01,440 Speaker 1: AT and T, Verizon or Team Mobile, you're paying too 506 00:30:01,600 --> 00:30:03,840 Speaker 1: much for the exact same thing. Pure Talk is on 507 00:30:03,920 --> 00:30:07,120 Speaker 1: the exact same network, using the same towers as one 508 00:30:07,120 --> 00:30:09,960 Speaker 1: of those big carriers, but for a lot less money. 509 00:30:10,280 --> 00:30:13,480 Speaker 1: In fact, pure Talk Clay saves the average family over 510 00:30:13,600 --> 00:30:15,160 Speaker 1: eight hundred dollars a year. Think about what you do 511 00:30:15,240 --> 00:30:16,959 Speaker 1: with an extra eight hundred dollars of your bank account 512 00:30:17,000 --> 00:30:19,360 Speaker 1: after a year. I trust these guys because I've got 513 00:30:19,440 --> 00:30:21,840 Speaker 1: my own son on their network, and right now he 514 00:30:21,880 --> 00:30:25,000 Speaker 1: gets unlimited talk, text, and six gigs of data. First 515 00:30:25,040 --> 00:30:28,960 Speaker 1: phone he's ever had iPhone twelve with the Pure Talk 516 00:30:29,120 --> 00:30:32,200 Speaker 1: network and he loves it. Unlimited talk, text and six 517 00:30:32,280 --> 00:30:34,760 Speaker 1: gigs of data just thirty dollars a month. Go over 518 00:30:34,840 --> 00:30:36,520 Speaker 1: on the data. I guess what they don't charge you, 519 00:30:36,880 --> 00:30:38,920 Speaker 1: which I know matters for a lot of parents out there. 520 00:30:38,960 --> 00:30:41,520 Speaker 1: How do you get pure Talk? Get hooked up right now, 521 00:30:41,640 --> 00:30:44,520 Speaker 1: pull your phones in your hands, listen to me carefully, 522 00:30:44,960 --> 00:30:48,760 Speaker 1: dial pound two fifty and say pure Talk fifty percent 523 00:30:48,880 --> 00:30:51,760 Speaker 1: off your first month up to eight hundred dollars a 524 00:30:51,920 --> 00:30:56,560 Speaker 1: year for a family. Pound two five zero say pure Talk. 525 00:30:56,840 --> 00:30:59,120 Speaker 1: You'll have the option to receive a one time auto 526 00:30:59,200 --> 00:31:02,440 Speaker 1: dial text message from pure Talk Pound two five zero 527 00:31:02,720 --> 00:31:11,120 Speaker 1: Pure Talk Today. Thanks for being here for the Clay 528 00:31:11,160 --> 00:31:14,080 Speaker 1: Travis and Buck Sexton Show. This is Buck, Clay and 529 00:31:14,200 --> 00:31:15,960 Speaker 1: I happy to be back with all of you. We 530 00:31:16,080 --> 00:31:18,640 Speaker 1: honestly appreciate it to have a little bit of time 531 00:31:18,720 --> 00:31:22,120 Speaker 1: to rest, but missed doing this show and I have 532 00:31:22,200 --> 00:31:24,120 Speaker 1: a lot to a lot to get through with you 533 00:31:24,240 --> 00:31:26,640 Speaker 1: today as we do every day, so we really appreciate it. 534 00:31:26,920 --> 00:31:28,560 Speaker 1: Also to remind you to please go to Clay and 535 00:31:28,720 --> 00:31:33,000 Speaker 1: Buck dot com for news stories we're talking about here, 536 00:31:33,160 --> 00:31:35,560 Speaker 1: more updates on the show, and you can check out 537 00:31:35,600 --> 00:31:38,600 Speaker 1: the Clay and Buck podcast where every listening to podcast anytime. 538 00:31:38,960 --> 00:31:42,240 Speaker 1: We've got Zubie joining us in a few minutes. A 539 00:31:42,320 --> 00:31:45,280 Speaker 1: lot of you probably have not yet heard of Zubie, 540 00:31:45,280 --> 00:31:48,880 Speaker 1: although he was on the Rogan Podcast recently. I've interviewed 541 00:31:48,960 --> 00:31:53,800 Speaker 1: him before. Just a really interesting thinker. He's from the UK. 542 00:31:54,480 --> 00:31:59,320 Speaker 1: He's a rapper and a podcaster, very pro freedom, very 543 00:31:59,480 --> 00:32:02,600 Speaker 1: anti fauciism. We want to talk to him both about 544 00:32:02,640 --> 00:32:04,400 Speaker 1: what he's seen in the UK and also what he's 545 00:32:04,400 --> 00:32:05,960 Speaker 1: in terms of COVID stuff and what he's seeing in 546 00:32:06,000 --> 00:32:07,480 Speaker 1: this country. And Clay and I are just excited to 547 00:32:07,520 --> 00:32:11,040 Speaker 1: talk to him. He's really building a conservative audience in 548 00:32:11,080 --> 00:32:15,479 Speaker 1: America very very quickly, so I want to introduce him 549 00:32:15,520 --> 00:32:17,920 Speaker 1: to all of you. Give him. He actually, Clay, he 550 00:32:18,000 --> 00:32:20,400 Speaker 1: just walked into studio. He's here right now, so that's exciting. 551 00:32:20,600 --> 00:32:22,480 Speaker 1: We'll get him on in a second. We also want 552 00:32:22,480 --> 00:32:25,400 Speaker 1: to take some calls we have not forgotten. Of course, 553 00:32:25,400 --> 00:32:27,719 Speaker 1: I have many, many lines, many lines lit up eight 554 00:32:27,840 --> 00:32:30,600 Speaker 1: hundred two eight two two eight eight two. On those lines, 555 00:32:31,280 --> 00:32:34,880 Speaker 1: let's get to Laurie in Colorado. Laurie on the Clay, 556 00:32:34,920 --> 00:32:39,960 Speaker 1: Travis and Buck Sexton Show. Good afternoon, Thank you, thank you. 557 00:32:40,080 --> 00:32:43,280 Speaker 1: What's up? Hey? I wanted to mention to you a 558 00:32:43,400 --> 00:32:47,560 Speaker 1: kind of an unusual situation I had as a COVID survivor. 559 00:32:48,000 --> 00:32:50,400 Speaker 1: I had a sinus infection about a month ago. I'm 560 00:32:50,440 --> 00:32:54,120 Speaker 1: a flight of tenant. Sinus infections are very painful. And 561 00:32:54,360 --> 00:32:56,880 Speaker 1: I went to an urgent care near my home. Went in. 562 00:32:57,520 --> 00:32:59,920 Speaker 1: Of course, they do the COVID test. Of course it's negative. 563 00:33:00,480 --> 00:33:07,400 Speaker 1: And the PA proceeds to lecture me on getting the vaccine. 564 00:33:07,520 --> 00:33:09,600 Speaker 1: And I said, well, you know what, as soon as 565 00:33:09,640 --> 00:33:14,640 Speaker 1: it's fully validated, confirmed to whatever, I'll consider it. But 566 00:33:14,760 --> 00:33:18,040 Speaker 1: let's talk about my sinus infection. She at the end 567 00:33:18,080 --> 00:33:21,160 Speaker 1: of the conversation, she refused to give me a dose 568 00:33:21,240 --> 00:33:25,720 Speaker 1: of amoxusillon. And I'm sitting here, going, I can't believe 569 00:33:25,760 --> 00:33:27,760 Speaker 1: this is happening. I mean, in my fifties, I'm healthy. 570 00:33:28,240 --> 00:33:31,240 Speaker 1: I'm only here because the pain is really bad now 571 00:33:31,640 --> 00:33:34,080 Speaker 1: because we wear marks all the time on the airplane. 572 00:33:34,720 --> 00:33:36,080 Speaker 1: And I just looked at her and I said, you know, 573 00:33:36,120 --> 00:33:40,280 Speaker 1: I'm a fight, isn't it right? I just need amoxysillon. Again, 574 00:33:40,720 --> 00:33:42,920 Speaker 1: lecture you need a vaccine. I said, this has nothing 575 00:33:42,960 --> 00:33:46,160 Speaker 1: to do with my sinus infection. I just need a moxysillin. 576 00:33:46,200 --> 00:33:49,040 Speaker 1: It's been a proof for decades. Let's move on right. 577 00:33:49,080 --> 00:33:50,920 Speaker 1: So so she wouldn't give you the care that you 578 00:33:51,040 --> 00:33:53,440 Speaker 1: needed and wanted unless you got the vaccine. It was 579 00:33:53,480 --> 00:33:58,440 Speaker 1: like a quid pro quo. Exactly great happened? What was 580 00:33:58,520 --> 00:34:02,720 Speaker 1: the end result? It was a pointless argument. I even 581 00:34:02,760 --> 00:34:06,320 Speaker 1: talked about annibodies. It was pointless cited research. Anyway, I 582 00:34:06,760 --> 00:34:11,360 Speaker 1: went home furious. I called tell a doctor, my insurance carrier, 583 00:34:11,480 --> 00:34:15,680 Speaker 1: and thankfully that wonderful doctor Matt on the other hand, 584 00:34:15,760 --> 00:34:17,880 Speaker 1: I told him what happened, and he could not believe it. 585 00:34:18,000 --> 00:34:21,480 Speaker 1: He said, which pharmacy. He immediately sent a prescription for me. 586 00:34:21,840 --> 00:34:23,759 Speaker 1: He said, I have never heard of anybody doing that. 587 00:34:23,880 --> 00:34:26,000 Speaker 1: I said, trust me, I have the name of the 588 00:34:26,040 --> 00:34:28,880 Speaker 1: medical director. I'm writing a letter to them. Thank you 589 00:34:29,000 --> 00:34:32,040 Speaker 1: for calling in. This is this is the point we 590 00:34:32,160 --> 00:34:35,839 Speaker 1: were making earlier, Buck about the idea that we are 591 00:34:35,920 --> 00:34:38,840 Speaker 1: going to tell doctors that they are such moral authorities 592 00:34:38,920 --> 00:34:41,640 Speaker 1: that they decide who and what they're going to treat 593 00:34:41,719 --> 00:34:45,759 Speaker 1: people who are ill is based on the morality of 594 00:34:45,840 --> 00:34:48,000 Speaker 1: their illness. First of all, you can be a good 595 00:34:48,080 --> 00:34:51,120 Speaker 1: person or a bad person. And get COVID right, Like 596 00:34:51,440 --> 00:34:56,680 Speaker 1: the virus isn't discriminating based on the overall health status 597 00:34:56,840 --> 00:35:00,759 Speaker 1: necessarily or morality of anyone out there. You might just 598 00:35:00,840 --> 00:35:04,920 Speaker 1: get exposed, right. And this idea that doctors should be 599 00:35:05,000 --> 00:35:09,040 Speaker 1: making choices about who they treat, it's it's pure madness 600 00:35:09,239 --> 00:35:12,200 Speaker 1: the medical profession in this situation, the medical profession has 601 00:35:12,239 --> 00:35:14,719 Speaker 1: sort of gone the way of dare I say, intelligence 602 00:35:14,760 --> 00:35:18,520 Speaker 1: analysis after you know a rock WMD and now the Afghanistan, 603 00:35:19,520 --> 00:35:23,879 Speaker 1: the Afghanistan withdrawal, the bacle, where people realize it's very politicized. 604 00:35:23,960 --> 00:35:26,080 Speaker 1: These are not gods. They make a lot of mistakes, 605 00:35:26,640 --> 00:35:30,160 Speaker 1: and it's unfortunate because the one person I think, maybe 606 00:35:30,200 --> 00:35:32,719 Speaker 1: you know, you could argue, okay, maybe a prosecutor. You 607 00:35:32,800 --> 00:35:34,640 Speaker 1: know there are some roles and the some roles in 608 00:35:34,719 --> 00:35:36,080 Speaker 1: day to day life. Hopefully you never have to deal 609 00:35:36,120 --> 00:35:38,200 Speaker 1: with a prosecutor where you really don't want there to 610 00:35:38,239 --> 00:35:40,759 Speaker 1: be politicization. But I know that ever wants to walk 611 00:35:40,760 --> 00:35:43,880 Speaker 1: into doctor's office and have it just be. This is 612 00:35:43,880 --> 00:35:46,600 Speaker 1: a highly trained professional who's going to help you be 613 00:35:46,760 --> 00:35:49,960 Speaker 1: as well and healthy and safe as possible, not going 614 00:35:50,000 --> 00:35:53,840 Speaker 1: to give you a lecture about Trump or either Mechtin 615 00:35:54,000 --> 00:35:59,120 Speaker 1: or whatever. I think everybody with a functional brain agrees 616 00:35:59,239 --> 00:36:02,480 Speaker 1: with that. And again I would just say, replace COVID 617 00:36:02,560 --> 00:36:07,000 Speaker 1: with HIV. If people were refusing treatment because of lifestyle choices, 618 00:36:07,040 --> 00:36:10,280 Speaker 1: Oh you didn't use a condom while you were having sex. 619 00:36:10,440 --> 00:36:14,400 Speaker 1: Oh you've ended up acquiring a virus that is based 620 00:36:14,480 --> 00:36:16,800 Speaker 1: in some way on a decision that you made in 621 00:36:16,960 --> 00:36:21,960 Speaker 1: your life. People would lose their minds. Yet you insert 622 00:36:22,160 --> 00:36:26,279 Speaker 1: COVID as the choice, and people are applauding doctors like 623 00:36:26,400 --> 00:36:32,080 Speaker 1: this who are effectively becoming social justice warrior advocates instead 624 00:36:32,120 --> 00:36:34,400 Speaker 1: of just trying to treat everybody fairly. Clay and I 625 00:36:34,480 --> 00:36:36,160 Speaker 1: are going to bring up to speed on the latest 626 00:36:36,200 --> 00:36:39,239 Speaker 1: in Afghanistan, the ongoing efforts to get everybody out who 627 00:36:39,400 --> 00:36:41,879 Speaker 1: is left behind by the Biden administration. The next hour. 628 00:36:42,480 --> 00:36:44,320 Speaker 1: First up in a couple of minutes, our friend Zoobie 629 00:36:44,440 --> 00:36:50,720 Speaker 1: Rapper podcaster, interesting guy who'll be with us? You're listening 630 00:36:50,800 --> 00:36:54,960 Speaker 1: to Clay Travis and Buck Sexton fund the EIB Network. 631 00:37:01,320 --> 00:37:01,640 Speaker 1: Three